Senior Financial Data Scientist at SEMrush
United States, , USA -
Full Time


Start Date

Immediate

Expiry Date

24 Oct, 25

Salary

0.0

Posted On

24 Jul, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Sql, Python, Communication Skills, Data Science, Data Products, Business Value, Quantitative Research

Industry

Marketing/Advertising/Sales

Description

Are you ready to be part of something big? We’re hiring for the Senior Financial Data Scientist on our Sales Team!
In this role, you’ll engage with key decision-makers, forge impactful relationships with some of the world’s most influential organizations, and directly contribute to the growth of Semrush.

WHY SEMRUSH?

We are a global leader in online marketing technology, meeting market demand with rapid scaling. Don’t miss the chance to join our unstoppable momentum and make history with us!

Some highlights of our success include:

  • Semrush named a Leader in The Forrester Wave™: Search Engine Optimization Solutions, Q3 2025
  • $400M+ Annual Recurring Revenue
  • 118,000+ paying customers worldwide
  • 1M+ freemium users
  • Exceptional demand for our new Enterprise platform, with deals secured from global giants like P&G, Tesla, FedEx, Samsung, Amazon, and others.

If you’re looking for a role where your impact will be visible and meaningful, we’d love to hear from you.

KEY QUALIFICATIONS:

  • 5+ years of experience in a quantitative research, data science, or alternative data strategy role
  • Deep familiarity with quant/data science fund workflows, including alpha discovery, signal validation, and portfolio integration
  • Demonstrated success in launching and growing data products and/or strategies within institutional finance
  • Strong command of Python, SQL, and data engineering/statistical tooling
  • Skilled in translating complex datasets into clear, actionable value for both internal stakeholders and clients
  • Experience collaborating across sales, product, and engineering to drive outcomes
  • Excellent written and verbal communication skills—capable of engaging both technical and non-technical audiences
  • Entrepreneurial mindset with the ability to work autonomously and move initiatives from 0 to 1
  • Strong technical acumen with the ability to translate complex technical concepts into business value for customers and internal teams

PREFERRED SKILLS:

  • Deep network in the buy-side and alternative data community
  • Experience with time-series, transactional, or behavioral data sets
  • Background in building research and marketing collateral for sophisticated institutional buyers
  • Prior experience evaluating or acquiring third-party datasets
Responsibilities

We are seeking a Senior Financial Data Scientist with a deep background in quantitative research and financial markets to lead the growth of our alternative data feed products tailored for institutional investors. This is a high-impact role at the intersection of product, strategy, sales, marketing, and client success, with a focus on delivering actionable intelligence to the world’s leading hedge funds, asset managers, investment banks, and PE/VC firms.
You will drive the vision, integration, and adoption of data products including Clickstream, Semrush APIs, Mobile/App data, Backlinks, Brand, and Social solutions—with a clear mandate to build out best-in-class solutions for systematic and discretionary investment workflows.

Key Responsibilities:

  • Lead and scale a portfolio of data feed products across quant, discretionary, and hybrid financial institutions
  • Leverage alternative data experience (e.g., credit card, receipt, or web data) to build valuable and usable investment signals
  • Evaluate and integrate internal and third-party datasets to expand coverage, quality, and commercial appeal
  • Backtest and analyze data utility using quant-driven evaluation frameworks and real-world client feedback
  • Champion the end user, tailoring product design to fit systematic, discretionary, and hybrid workflows
  • Identify gaps in the alternative data market and lead product innovation beyond
  • traditional feeds
  • Collaborate closely with engineering to shape delivery formats, latency, and accessibility
  • Author compelling research (white papers, notebooks, and case studies) to educate clients and drive adoption
  • Work cross-functionally with Sales, GTM, Product, and Customer Success to ensure commercial success and client enablement
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